Anders Søgaard
Professor
Natural Language Processing
Universitetsparken 1
2100 København Ø
Department of Communication
Karen Blixens Plads 8
2300 København S
- Published
Should We Ban English NLP for a Year?
Søgaard, Anders, 2022, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 5254-5260Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- E-pub ahead of print
Can machines be trustworthy?
Søgaard, Anders, 2024, (E-pub ahead of print) In: AI and Ethics. 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Nightmare at test time: How punctuation prevents parsers from generalizing
Søgaard, Anders, Lhoneux, M. D. & Augenstein, Isabelle, 2018, Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, p. 25–29Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
What I think when I think about treebanks
Søgaard, Anders, 2018, Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, p. 161-166Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Model generation in a dynamic environment
Søgaard, Anders, 2006, New Frontiers in Artificial Intelligence. 4012 ed. Berlin, Tyskland: Springer, p. 126-133Research output: Chapter in Book/Report/Conference proceeding › Report chapter › Research
- Published
Mining wisdom
Søgaard, Anders, 2012, Proceedings of Workshop on Computational Linguistics in Literature, Northern American Chapter of the Association of Computational Linguistics (NAACL). Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Deep multi-task learning with low level tasks supervised at lower layers
Søgaard, Anders & Goldberg, Y., 2016, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Vol. 2. p. 231-235 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Computing sense and reference
Søgaard, Anders, 2005, Computing and philosophy. Västerås, Sverige: Dpt. of Computer Science and Engineering, Mälardalen University, p. 31 1 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
- Published
Using graphical models for PP attachment
Søgaard, Anders, 2011, In: NEALT (Northern European Association of Language Technology) Proceedings Series.Research output: Contribution to journal › Conference article › Research › peer-review
- Published
From ranked words to dependency trees: two-stage unsupervised non-projective dependency parsing
Søgaard, Anders, 2011, TextGraphs-6: Graph-based Methods for Natural Language Processing, the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Cross-Lingual Word Embeddings
Søgaard, Anders, Vulić, I., Ruder, S. & Faruqui, M., 2019, 2 ed. Morgan & Claypool Publishers. 132 p. (Synthesis Lectures on Human Language Technologies).Research output: Book/Report › Book › Research › peer-review
- Published
Semi-supervised condensed nearest neighbor for part-of-speech tagging
Søgaard, Anders, 2011, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT. Association for Computational LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Kunstig intelligens bagfra
Søgaard, Anders, 2022, Aarhus Universitetsforlag. (ScienceFaction).Research output: Book/Report › Book › Communication
- Published
Using crowdsourcing to get representations based on regular expressions
Søgaard, Anders, Martinez Alonso, H., Elming, J. & Johannsen, A. T., 2013, EMNLP 2013. Association for Computational Linguistics, p. 1476-1480Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- E-pub ahead of print
On Hedden's proof that machine learning fairness metrics are flawed
Søgaard, Anders, Kappel, Klemens & Grünbaum, Thor, 2024, (E-pub ahead of print) In: Inquiry. 20 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning linguistic models under bias
Søgaard, Anders, 2014Research output: Book/Report › Doctoral thesis › Research
- Published
Selection bias, label bias, and bias in ground truth
Søgaard, Anders, Plank, B. & Hovy, D., 2014, Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: tutorial abstracts. Association for Computational Linguistics, p. 11-13 3 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Extending the HPSG Grammar Matrix with richer lexical semantics
Søgaard, Anders, 2005, Third International Workshop on Generative Approaches to the Lexicon. Geneve: École de Traduction et D'Interprétation, Université de Genève, p. 227-234 8 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
- Published
Explainable Natural Language Processing
Søgaard, Anders, 2021, Morgan & Claypool. 123 p. (Synthesis Lectures on Human Language Technologies; No. 3, Vol. 14).Research output: Book/Report › Book › Research › peer-review
- Published
Using hyperlinks to improve multilingual partial parsers
Søgaard, Anders, 2017, Proceedings of the 15th International Conference on Parsing Technologies. Association for Computational Linguistics, p. 67-71Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Neural Speed Reading Audited
Søgaard, Anders, 2020, Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, p. 148–153Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Grounding the Vector Space of an Octopus: Word Meaning from Raw Text
Søgaard, Anders, 2023, In: Minds and Machines. 33, 1, p. 33–54 22 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Some Languages Seem Easier to Parse Because Their Treebanks Leak
Søgaard, Anders, 2020, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2765–2770Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Evaluating word embeddings with fMRI and eye-tracking
Søgaard, Anders, 2016, Proceedings of the 1st Workshop on Evaluating Vector Space Representations for NLP. Association for Computational Linguistics, p. 116-121 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Using hybrid logic for querying dependency treebanks
Søgaard, Anders & Kristiansen, S. L., 2012, In: Linguistic Issues in Language Technology. 7, 5Research output: Contribution to journal › Journal article › Research › peer-review
ID: 13266
Most downloads
-
468
downloads
Multilingual projection for parsing truly low resource languages
Research output: Contribution to journal › Conference article › Research › peer-review
Published -
342
downloads
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
283
downloads
Reading metrics for estimating task efficiency with MT output
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published